Items where Author is "Parveen, Saba"
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A word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
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Akhtar, F., Belal Bin Heyat, M., Sultana, A., Parveen, S., Muhammad Zeeshan, H., Fathima Merlin, S., Shen, B., Pomary, D., Li, J., & Sawan, M. (2024). Medical intelligence for anxiety research: Insights from genetics, hormones, implant science, and smart devices with future strategies [Discussion or Letter]. Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery, 14(6), 35 pages. External link
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Heyat, M. B. B., Adhikari, D., Akhtar, F., Parveen, S., Zeeshan, H. M., Ullah, H., Chen, Y.-H., Wang, L., & Sawan, M. (2025). Intelligent internet of medical things for depression: current advancements, challenges, and trends. International Journal of Intelligent Systems, 2025, 6801530 (35 pages). Available
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Rehman, A. U., Lu, S., Bin Heyat, M. B., Iqbal, M. S., Parveen, S., Bin Hayat, M. A., Akhtar, F., Ashraf, M. A., Khan, O., Pomary, D., & Sawan, M. (2025). Internet of Things in healthcare research: trends, innovations, security considerations, challenges and future strategy. International Journal of Intelligent Systems, 2025, 546245 (53 pages). Available
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Shahid Iqbal, M., Belal Bin Heyat, M., Parveen, S., Ammar Bin Hayat, M., Roshanzamir, M., Alizadehsani, R., Akhtar, F., Sayeed, E., Hussain, S., S. Hussein, H., & Sawan, M. (2024). Progress and trends in neurological disorders research based on deep learning [Discussion or Letter]. Computerized Medical Imaging and Graphics, 116, 102400 (24 pages). External link
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Waheed, Z., Gui, J., Belal Bin Heyat, M., Parveen, S., Ammar Bin Hayat, M., Shahid Iqbal, M., Aya, Z., Khan Nawabi, A., & Sawan, M. (2024). A Novel Lightweight Deep Learning Based Approaches for the Automatic Diagnosis of Gastrointestinal Disease using Image Processing and Knowledge Distillation Techniques. Computer Methods and Programs in Biomedicine, 260, 108579 (17 pages). External link